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A Power Planning Algorithm Based on RPL for AMI Wireless Sensor Networks.
Miguel, Marcio L F; Jamhour, Edgard; Pellenz, Marcelo E; Penna, Manoel C.
Afiliação
  • Miguel ML; PPGIa, Pontifical Catholic University of Parana-Parana, Curitiba 80215-901, Brazil. marcio.miguel@gmail.com.
  • Jamhour E; PPGIa, Pontifical Catholic University of Parana-Parana, Curitiba 80215-901, Brazil. jamhour@ppgia.pucpr.br.
  • Pellenz ME; PPGIa, Pontifical Catholic University of Parana-Parana, Curitiba 80215-901, Brazil. marcelo@ppgia.pucpr.br.
  • Penna MC; PPGIa, Pontifical Catholic University of Parana-Parana, Curitiba 80215-901, Brazil. penna@ppgia.pucpr.br.
Sensors (Basel) ; 17(4)2017 Mar 25.
Article em En | MEDLINE | ID: mdl-28346339
The advanced metering infrastructure (AMI) is an architecture for two-way communication between electric, gas and water meters and city utilities. The AMI network is a wireless sensor network that provides communication for metering devices in the neighborhood area of the smart grid. Recently, the applicability of a routing protocol for low-power and lossy networks (RPL) has been considered in AMI networks. Some studies in the literature have pointed out problems with RPL, including sub-optimal path selection and instability. In this paper, we defend the viewpoint that careful planning of the transmission power in wireless RPL networks can significantly reduce the pointed problems. This paper presents a method for planning the transmission power in order to assure that, after convergence, the size of the parent set of the RPL nodes is as close as possible to a predefined size. Another important feature is that all nodes in the parent set offer connectivity through links of similar quality.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça